Evidence map›Paper›PMID 27216817›Full record

ArticleNucleic acids research2016

Dysregulated signaling hubs of liver lipid metabolism reveal hepatocellular carcinoma pathogenesis.

Sunjae Lee, Adil Mardinoglu, Cheng Zhang, Doheon Lee, Jens Nielsen

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Longitudinal big biological data in the AI era.Molecular systems biology · 2025
    Review
  3. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Role of follistatin-like protein 1 in liver diseases.Experimental biology and medicine (Maywood, N.J.) · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Urinary Metabolites Diagnostic and Prognostic of Intrahepatic Cholangiocarcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  15. Article
  16. Article
  17. Review
  18. Systems biology in hepatology: approaches and applications.Nature reviews. Gastroenterology & hepatology · 2018
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sunjae LeeScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-171 21, Sweden Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305 338, Republic of Korea.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-171 21, Sweden Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, SE-412 96, Sweden.
Cheng ZhangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-171 21, Sweden.
Doheon LeeDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305 338, Republic of Korea.
Jens NielsenScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-171 21, Sweden Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, SE-412 96, Sweden nielsenj@chalmers.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) has a high mortality rate and early detection of HCC is crucial for the application of effective treatment strategies. HCC is typically caused by either viral hepatitis infection or by fatty liver disease. To diagnose and treat HCC it is necessary to elucidate the underlying molecular mechanisms. As a major cause for development of HCC is fatty liver disease, we here investigated anomalies in regulation of lipid metabolism in the liver. We applied a tailored network-based approach to identify signaling hubs associated with regulation of this part of metabolism. Using transcriptomics data of HCC patients, we identified significant dysregulated expressions of lipid-regulated genes, across many different lipid metabolic pathways. Our findings, however, show that viral hepatitis causes HCC by a distinct mechanism, less likely involving lipid anomalies. Based on our analysis we suggest signaling hub genes governing overall catabolic or anabolic pathways, as novel drug targets for treatment of HCC that involves lipid anomalies.

Indexed as

Carcinoma, HepatocellularGene Expression Regulation, NeoplasticHumansLipid MetabolismLiverLiver NeoplasmsMetabolic Networks and PathwaysTranscriptome

Identifiers

PMID27216817
PMCPMC4937331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.